SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data.
Chaoyang HeEmir CeyaniKeshav BalasubramanianMurali AnnavaramSalman AvestimehrPublished in: AAAI (2022)
Keyphrases
- multi task
- data sets
- neural network
- learning tasks
- learning algorithm
- training data
- learning problems
- multitask learning
- knowledge discovery
- multiple tasks
- multi task learning
- learning process
- data analysis
- high dimensional data
- prior knowledge
- reinforcement learning
- sparse learning
- data points
- supervised learning
- active learning
- learning models
- pairwise